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/capture

Save a durable memory to Wenlan from Codex. Use proactively when the user states a preference, makes a decision, corrects you, or shares a durable fact. Invoked as /capture <content>.

From plugin
4725 skills1 agents
shell
$ npx -y skills add 7xuanlu/wenlan --skill capture --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
  • You can call itInvoke it directly when you want it.
  • Slash command/capture
How auto-invocation works

Context preview

The summary Claude sees to decide when to auto-load this skill.

Save a durable memory to Wenlan from Codex. Use proactively when the user states a preference, makes a decision, corrects you, or shares a durable fact. Invoked as /capture <content>.

SKILL.md

capture.SKILL.md
name: capture
description: >
  Save a durable memory to Wenlan from Codex. Use proactively when the user
  states a preference, makes a decision, corrects you, or shares a durable
  fact. Invoked as /capture <content>.
argument-hint: "<content>"
allowed-tools: ["Bash", "mcp__wenlan__capture", "mcp__wenlan__recall", "mcp__wenlan__create_entity", "mcp__wenlan__create_relation", "mcp__wenlan__list_rejections", "mcp__wenlan__accept_revision", "mcp__wenlan__dismiss_revision"]
user-invocable: true

/capture

Capture one memory in the moment. Write the memory as a self-contained statement with the reason it matters.

Argument parsing

Accept one optional inline token of the form `space:<name>` anywhere in the argument string. Extract it before treating the rest as content:

raw_args="<the full argument string passed to /capture>"
space_arg="$(printf '%s\n' "$raw_args" | grep -oE 'space:[A-Za-z0-9_-]+' | head -1 | cut -d: -f2)"
content="$(printf '%s\n' "$raw_args" | sed -E 's/[[:space:]]*space:[A-Za-z0-9_-]+[[:space:]]*/ /g' | sed -E 's/^[[:space:]]+|[[:space:]]+$//g')"

If `content` is empty, ask the user what they want to capture.

Resolve the active space

Call the Codex resolver:

resolved="$(plugin-codex/bin/resolve-space.sh --cwd "$PWD" ${space_arg:+--arg "$space_arg"} 2>/dev/null)"
space="$(printf '%s\n' "$resolved" | cut -f1)"
source_layer="$(printf '%s\n' "$resolved" | cut -f2)"

If `space` is non-empty, print `Resolved space: <space> (from <source-layer>)` and pass it to the `capture` MCP tool. If `space` is empty, print `Resolved space: none (unscoped)` and omit the `space` parameter.

After capture, relay the tool's returned `space`, `space_source`, and `write_outcome`; those fields describe what the daemon actually persisted and are authoritative.

How to invoke

Call the Wenlan MCP `capture` tool with the user's content as a complete, self-contained statement. Attach topic from cwd or the conversation when useful.

capture(
  content="<content, written as a full sentence with WHY>",
  memory_type="<picked from the 6 types>",
  entity="<primary entity name, if any>",
  space="<resolved if non-empty>"
)

Pick `memory_type`

The daemon classifies when a model or API key is configured. In local memory mode it may not, so pick the type from the content itself.

| Type | Use for | |---|---| | `identity` | Durable facts about the user | | `preference` | A habit, correction, or stylistic choice with a reason | | `decision` | A specific choice with rationale | | `lesson` | Root cause, workaround, or technical insight | | `gotcha` | Sharp edge or surprising behavior | | `fact` | Durable info about people, projects, tools, or places |

If two types fit, pick the one closest to why the memory matters.

Extract `entity`

Pick the single most important named anchor: person, project, tool, or place. Use the exact name. If there is no named anchor, omit `entity`.

Pass the single most important named anchor through `capture.entity`. Ordinary captures stop there; daemon enrichment handles routine extraction. Do not call `mcp__wenlan__create_entity` for ordinary captures. Never infer a relation the user did not state.

Use the explicit KG tools only when the user explicitly states a durable relation:

1. Call `mcp__wenlan__create_entity` for both named endpoints first and collect their stable ids. The call is idempotent and may return an existing id. 2. Call `mcp__wenlan__capture` with the complete relation statement and pass the primary entity name as `entity` so the memory resolves and links to it. 3. Call `mcp__wenlan__create_relation` with `from_entity_id`, `to_entity_id`, `relation_type`, and the capture result's required `source_memory_id`.

For a durable named entity explicitly established by the user, `mcp__wenlan__create_entity` may also be used alone when its stable id is needed. `Entity <id> ready` does not imply that a new row was created.

What to capture

  • Decisions: "Going with approach A because B."
  • Preferences: "Prefers TDD because it catches regressions early."
  • Corrections: "Actually it is C, not D."
  • Project facts: "Wenlan is the local memory daemon for AI tools."

What not to capture

  • System prompts, boot logs, and command output.
  • Transient task state.
  • File paths or git history the user can re-derive.
  • Agent operating rules that belong in AGENTS.md or another obey-tier file.
  • Single-word acknowledgments.

If a capture the user expected is missing or the user explicitly asks why it was rejected, call `mcp__wenlan__list_rejections`. Do not list rejections after successful ordinary captures.

Post-capture contradiction signal

After `capture` returns, check `triggered_revisions` and `auto_superseded`.

If `auto_superseded` is non-empty, surface it as informational. No follow-up tool call is needed.

If `triggered_revisions` is non-empty and `auto_superseded` is empty, render:

Stored <new id>.

This capture topic-matches a protected memory now flagged for revision:
  - <target id>

Action: accept (replace original) | dismiss (drop revision) | leave (decide later)

Inline verb map:

  • accept: `accept_revision(target_source_id="<target id>")`
  • dismiss: `dismiss_revision(target_source_id="<target id>")`
  • leave: no call
Read more
Read it on GitHub ↗
Ships withwenlan

Wenlan is a knowledge base for the AI-native age. Your AI agents capture what they learn, Wenlan keeps it current and distills it into source-cited wiki pages you can trust

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Rust
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Apache-2.0
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Repo: 7xuanlu/wenlan

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